Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics-Reference-Cited by-同舟云学术

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Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics

Published:2024-07 Issue:7 Volume:150 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Wu Jiahao¹,Ye Yang²,Du Jing³^ORCID

Affiliation:

1. Ph.D. Student, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32611.

2. Ph.D. Candidate, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32611.

3. Professor, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32611 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-14787

Reference60 articles.

1. Vision-Based Navigation Techniques for Unmanned Aerial Vehicles: Review and Challenges

2. Drone Navigation Using Region and Edge Exploitation-Based Deep CNN

3. A multi-population immune plasma algorithm for path planning of unmanned combat aerial vehicle

4. A parametric study of the effect of building layout on wind flow over an urban area

5. Wind Environmental Conditions in Passages between Two Long Narrow Perpendicular Buildings

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